Microsoft Certified: Fabric Data Engineer Associate
Code
DP-700
Length
100 minutes
Pass mark
700 out of 1,000
Price
Set by country, shown when you book
Valid for
12 months, renewed by a free online assessment
Study time, our estimate
50 to 70 hours
DP-700Associate
There is no AI in the title, but this is the data exam for Microsoft shops. Most AI projects stall on data access, and this proves you can get data in, secure it and keep it fast. It is hands-on in SQL, PySpark and KQL.
Take it if
Your AI data lives in Microsoft Fabric and OneLake.
Skip it if
Your data platform is Databricks, Snowflake or BigQuery. The tools here are Fabric-specific.
Before you start
Check yourself against this list first. If something is missing, close that gap before you pay for an exam.
SQL, PySpark and KQLMicrosoft expects all three.
You know data loading patternsFull and incremental loads are the base.
You have a Fabric workspaceUse a trial capacity to practice. Learn more
Choosing between Dataflow Gen2, a pipeline and a notebook. This trade-off appears throughout.
Full against incremental loads, and handling duplicate, missing and late-arriving data.
OneLake shortcuts against mirroring against copying data.
Access at every level: workspace, item, row, column, object and file.
Real-Time Intelligence: Eventstream, Eventhouse, windowing functions and KQL.
Optimizing lakehouse tables, pipelines, warehouses and Spark.
Everything on one mapEvery topic and key idea in this certification.
mindmap
root((DP-700))
Manage the solution
Layers of access
Lifecycle
Choosing a tool
Ingest and transform
Incremental loads
Shortcuts
Streaming
Monitor and optimize
Small files
Errors
Alerts
Lesson 1 of 3, 30–35% of the exam
Manage the solution
A third of the exam, covering security and lifecycle.
Layers of access
Workspace, item, row, column, object and file levels all exist.
Lifecycle
Version control plus deployment pipelines between stages.
Choosing a tool
Dataflow Gen2 for low-code, notebooks for code, pipelines for orchestration.
Layers of Fabric accessEach layer narrows what a person can see.
flowchart TD
A["Workspace role"] --> B["Item permission"]
B --> C["Object level"]
C --> D["Column level"]
C --> E["Row level"]
D --> F["Dynamic data masking"]
Common trap
Giving workspace access when a row filter is what is needed.
Try it yourself
Apply row-level security and promote a change through a pipeline.
Load only what changed, using a watermark or change data.
Shortcuts
Reference data in place, with no copy.
Streaming
Use Eventstream, Spark structured streaming or KQL, with windows that allow for late data.
Getting data into OneLakeAvoid copying when you can reference.
flowchart TD
A{"Where is the data?"} -->|"Already in a lake"| B["OneLake shortcut"]
A -->|"In an operational database"| C["Mirroring"]
A -->|"Elsewhere, needs transforming"| D["Pipeline or Dataflow Gen2"]
A -->|"A live stream"| E["Eventstream"]
Common trap
Adding capacity to a full reload that should be incremental.
Try it yourself
Build an incremental load, then a five-minute window that handles late events.
Frequent small writes slow Delta tables, so run maintenance such as OPTIMIZE.
Errors
Know how pipeline, notebook, Eventhouse and T-SQL errors show up.
Alerts
Monitor ingestion, transformation and refresh.
Why small files slow a tableCompaction turns many small files into fewer large ones.
flowchart LR
A["Many small writes"] --> B["Hundreds of small files"]
B --> C["Slow reads"]
C --> D["Run OPTIMIZE"]
D --> E["Fewer, larger files"]
E --> F["Faster reads"]
Common trap
Ignoring this domain because it feels like operations work. It is a full third.
Try it yourself
Compare a table's read speed before and after OPTIMIZE.
Build one batch load with a pipeline and a notebook. Do it as an incremental load, then handle late data.
Week 3: streaming
Process events with Eventstream, then the same stream with Spark structured streaming and KQL.
Week 4: secure and ship
Apply row and column security, sensitivity labels, version control and a deployment pipeline.
Exam week
Break each pipeline on purpose and practice reading the errors. Then take the mock below.
Exam day and after
You can open Microsoft Learn during associate and expert exams, but the clock keeps running. It helps with one lookup and not with twenty, so use it for exact names and limits.
Most questions cover generally available features, though preview features can appear if they are widely used.
Try the free exam sandbox first so the interface is not a surprise on the day.
The three domains are weighted evenly, so one weak area costs you a full third of the exam.
The certification page was last updated on October 19, 2026.
Test yourself8 practice questions, scored by exam topic.
Exam facts checked on October 31, 2026 against DP-700 study guide. Lessons are our own explanations, so use the official docs as the final word, and confirm price and dates before booking.
